Data engineering and analytics partner for private equity funds and portfolios
JMAN Group builds data platforms and analytics for private equity investors and their portfolio companies, running a multi-cloud delivery stack spanning Azure, Databricks, Microsoft Fabric, Snowflake, Redshift and dbt. Heavy Azure AI tooling (Azure OpenAI, AI Foundry, Azure ML) plus active work on ML CI/CD pipelines points to a shift from BI reporting toward production AI. Accelerating, senior-weighted hiring across data, engineering and sales lines up with a push to grow the US business.
JMAN Group is a London-headquartered consultancy founded in 2010 that delivers data engineering, data science and commercial analytics to private equity funds and the companies they own. Its work centers on supporting investment decisions and value creation with dependable, timely data. The firm employs between 501 and 1,000 people and operates offices in London, New York and Chennai. Most revenue comes from recurring client relationships. It is privately held and currently hires in the United Kingdom, United States and India.
JMAN Group works across Azure, Databricks, Microsoft Fabric, Snowflake, Redshift, dbt, Matillion, Azure Data Factory and AWS Glue, with Power BI, Tableau and Looker for BI and Terraform, Kubernetes and Datadog for infrastructure.
Yes. Hiring is accelerating, led by data and engineering roles alongside sales and consulting, with a strong tilt toward senior and principal-level positions across India, the United Kingdom and the United States.
JMAN Group is headquartered in London, England, and also has offices in New York and Chennai. The company was founded in 2010 and has 501–1,000 employees.
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JMAN Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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